Description
Given the aging state of critical infrastructure, encompassing bridges, buildings, and pipelines, Structural Health Monitoring (SHM) techniques have assumed paramount significance in the evaluation of these assets' structural health without interrupting their operational functionality. The Acoustic Emission (AE) technique, renowned for its proficiency in detecting various types of structural damage, enjoys notable recognition. However, challenges persist in quantifying damage and estimating safety margins, primarily due to an overreliance on empirical observations. To address this crucial gap, this paper introduces a methodology for the numerical simulation of acoustic emission events in reinforced concrete structures. This approach relies on a finite element model that aims to replicate the mechanical behaviour of the structure, with stress and strain analysis forming the foundational elements for simulating and quantifying these events. After validation performed through comparison with experimental data, the model is applied to perform parametric analyses to define the EA parameters most representative of the damage classification. This study serves as the framework for research efforts aimed at harnessing acoustic emission data in a more quantitatively rigorous manner for structural assessment. Significantly, it establishes a direct linkage between mechanical models and acoustic observations, offering a promising pathway toward a more comprehensive and precise understanding of structural integrity and safety within critical infrastructure. Moreover, this research may contribute to the development of improved strategies for assessing and maintaining the health of these essential assets in the face of their aging and potential structural issues.
